From b4206c4b08f31a28c9b81264c45a89eb5d4762a2 Mon Sep 17 00:00:00 2001 From: Lorenzo Date: Tue, 8 Nov 2022 12:15:10 +0000 Subject: [PATCH] minor fix --- src/ensemble/mod.rs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ensemble/mod.rs b/src/ensemble/mod.rs index 161df96..8cebd5c 100644 --- a/src/ensemble/mod.rs +++ b/src/ensemble/mod.rs @@ -7,7 +7,7 @@ //! set and then aggregate their individual predictions to form a final prediction. In classification setting the overall prediction is the most commonly //! occurring majority class among the individual predictions. //! -//! In smartcore you will find implementation of RandomForest - a popular averaging algorithms based on randomized [decision trees](../tree/index.html). +//! In `smartcore` you will find implementation of RandomForest - a popular averaging algorithms based on randomized [decision trees](../tree/index.html). //! Random forests provide an improvement over bagged trees by way of a small tweak that decorrelates the trees. As in bagging, we build a number of //! decision trees on bootstrapped training samples. But when building these decision trees, each time a split in a tree is considered, //! a random sample of _m_ predictors is chosen as split candidates from the full set of _p_ predictors.